Employment
Thank you for your interest in joining the Goergen Institute for Data Science and Artificial Intelligence team. We are currently accepting applications for the following position(s):
Instructional Track Program Director (Open Rank) - MS in Quantitative Social Science Program
The University of Rochester’s Goergen Institute for Data Science and Artificial Intelligence (GIDS-AI), Department of Economics, and Department of Political Science invite applications for an instructional-track faculty position at the Assistant, Associate, or Full Professor rank to help launch, lead, and administer a new in-person MS in Quantitative Social Science degree program. This MS program is a new joint initiative of the three units aimed at providing rigorous training in statistical, computational, and data-analytic methods for addressing social science problems. We seek candidates with expertise in quantitative methods and their application to substantive problems in the social sciences. The anticipated start date for the position is July 1, 2027.
Responsibilities
- Develop and teach courses for master’s-level students
- Build relationships with external organizations and industry partners to develop capstone projects and supervise those projects
- Advise students in the MS program
- Manage the day-to-day administration of the MS program, including admissions and enrollment, curriculum development and oversight, marketing, and coordination with related administrative functions across the University.
Qualifications
Applicants must have a PhD in political science, economics, statistics, computer science, data science, or a related field. Experience with graduate teaching and curriculum development is preferred. Preference will be given to candidates with experience applying quantitative methods to political science or economics through academic research, teaching, and/or industry experience.
Application Instructions
Interested applicants should submit a cover letter, CV, teaching statement, and the names and contact information for two references. Letters of recommendation are not required at the application stage, but may be requested at a later date.
Questions concerning this position may be directed to Paulo Barelli, Professor and Chair of the Economics Department, Mujdat Cetin, Professor and Director of GIDS-AI, or David Primo, Professor and Chair of the Political Science Department. Applications received by December 15, 2026, will be given priority consideration. Applications received after that date will be considered until the position is filled.
The University of Rochester is an Equal Opportunity Employer with a strong commitment to diversity, and actively encourages applications from candidates from groups underrepresented in higher education.
EOE / Minorities / Females / Protected Veterans / Disabled
Dalal Family Postdoctoral Fellowship in AI Ethics
The University of Rochester’s Goergen Institute for Data Science and Artificial Intelligence (GIDS-AI) invites applications for the Dalal Family Postdoctoral Fellowship in AI Ethics.
This fellowship aims to advance research and teaching focused on responsible design, development, deployment, governance, and societal implications of AI systems. The Dalal Family Postdoctoral Fellowship supports applied research on AI and its societal impact, informing policy and addressing real-world ethical challenges across human life.
For the purposes of this Fellowship, “AI Ethics” refers to scholarship related to artificial intelligence and addressing the responsible design, development, deployment, governance, and societal implications of artificial intelligence systems. Relevant areas may include, but are not limited to, algorithmic fairness and bias, transparency and accountability of AI systems, AI safety and alignment, privacy and data ethics, human-centered AI design, and the governance and regulation of artificial intelligence technologies.
Fellows will have the opportunity to pursue innovative research in the human-centered development and application of AI while working closely with one or more GIDS-AI faculty mentors.
Dalal Family Postdoctoral Fellows will receive a stipend, mentorship, teaching opportunities, and support for interdisciplinary collaboration for up to two years.
Fellows will have a teaching or instructional responsibility equivalent to one full-course assignment per year in AI Ethics, further extending the fellowship’s impact on students at the University.
Dalal Family Postdoctoral Fellows will be encouraged to participate in seminars, lectures, workshops, or other scholarly activities that advance discussion of the ethical and societal implications of artificial intelligence within the University community.
Each fellow will be mentored by and collaborate closely with one or more GIDS-AI faculty members. Applicants are encouraged to review the research interests of GIDS-AI faculty. In their application materials, candidates should identify the faculty members whose research aligns with their interests and with whom they would be most interested in collaborating during the postdoctoral fellowship.
Applicants must possess a strong background and an established scholarly research record in at least one area of AI Ethics, as defined above, and hold a Ph.D. in a related field.
Applicants should submit the following materials:
- A cover letter identifying one or two GIDS-AI faculty members with whom the applicant would like to work
- A curriculum vitae (CV), including a list of publications
- A research statement
- A teaching statement
- The names and contact information of two references.
Questions concerning this position can be addressed to Mujdat Cetin (mujdat.cetin@rochester.edu), Director of the Goergen Institute for Data Science and Artificial Intelligence. Review of applications will begin on July 1, 2026 and continue until the position is filled. The University of Rochester is an Equal Opportunity Employer, and actively encourages applications from candidates from groups underrepresented in higher education.
Salary range (12-month salary): $70,000 to $80,000
The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job’s compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
The University of Rochester is a a prestigious private R1 research university located in Rochester, New York. The Goergen Institute for Data Science and Artificial Intelligence (GIDS-AI) was founded in 2015 as part of the University of Rochester’s $100 million commitment to making data science and AI its top research priority. The Institute serves as a hub for interdisciplinary data science and AI research, interdepartmental data science and AI academic programs, and collaborations with local companies. Through research and education initiatives led by GIDS-AI, the University of Rochester intends to be among the world’s leaders in data science and AI. One hundred and twenty faculty members from a variety of disciplines across the campus (representing all seven schools of the university) are affiliated with GIDS-AI. The Goergen Institute has been a leader in data science education, and recognized for being one of the first institutions to launch both undergraduate and graduate (MS) degree programs in data science.
The city of Rochester, NY is a diverse, energetic, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1+ million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods.
The University of Rochester is an Equal Opportunity Employer with a strong commitment to diversity, and actively encourages applications from candidates from groups underrepresented in higher education.
EOE / Minorities / Females / Protected Veterans / Disabled